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Model Pricing and Billing

Review multipliers, price conversion rules, standardized billing units, and model costs.

1. Billing Rules

Core billing unit: The platform bills per 100 million Tokens. A 1x multiplier = 40 yuan per 100 million Tokens, equivalent to 0.4 yuan per 1 million Tokens. The “multiplier” and “price per 1 million Tokens” columns in the table below use the same conversion basis, so you can read the prices directly from the table.

Billing ItemStandardDescription
1x multiplier40 yuan / 100 million TokensEquivalent to 0.4 yuan per 1 million Tokens and used as the base conversion standard for the price table.
2x multiplier80 yuan / 100 million TokensPrices scale linearly from the base multiplier, so the price per 1 million Tokens also doubles.
5x multiplier200 yuan / 100 million TokensUsed for models with higher costs or resource requirements.
10x multiplier400 yuan / 100 million TokensHigher-cost models use higher multipliers. See the model price table for details.

One Key works with every model. Multipliers only represent differences in model costs. You do not need a separate Key for each model.

Actual charges are based on system records. If a model receives a temporary subsidy, promotional discount, or multiplier adjustment, the price table on this page will be updated accordingly.


2. Cache Hits

What is a cache hit? When consecutive requests contain a large amount of identical context, the system can reuse previously processed content. The cached portion does not need to be recomputed at the full input rate. Common examples include long conversations, consecutive follow-up questions, code completion, agent workflows, and multi-turn tool calls.

ItemBilling MethodDescription
Cached inputUsually billed at a 0.1x multiplierThe cached portion costs about 10% of standard input, reducing costs for long-context use cases.
Uncached inputBilled at the model's corresponding multiplierNew content and substantially changed context are billed at the normal input rate.
Special models / periods of instabilityMay be billed at a 0.2x multiplier or temporarily bypass cachingFor example, cache billing may be adjusted based on actual capabilities for high-cost models or when an upstream provider is unstable.

Example: If you ask consecutive follow-up questions in a long conversation, the repeated context carried over from earlier turns is billed at the cache multiplier when it results in a cache hit. New questions and newly generated output are still billed at the model's corresponding multiplier.

Whether a request results in a cache hit depends on the request content, model capabilities, upstream caching policy, and current system availability. Final charges are based on billing records.


3. Model List and Multiplier Price Table (All Models Available)

How to read the table: Start with the model name, then check the multiplier, and finally review the “price per 1 million Tokens.” A lower multiplier means a lower cost per Token. Multipliers and prices use the same conversion basis.

FieldDescription
Model nameThe model name entered in a client, workflow, or API request. We recommend copying capitalization exactly as shown in the table.
MultiplierRepresents differences in model costs. Lower multipliers are better for frequent everyday use, while higher multipliers are better suited to high-value tasks.
Price per 1 million TokensAlready converted using the multiplier, so you can use this column directly to estimate usage costs.
Temporary subsidy / promotional priceWhen a temporary subsidy or limited-time promotion applies, the table will show the latest multiplier. Pricing may return to its previous rate or change again when the promotion ends.
ProviderDisplay NameModel IDMultiplier / BillingPriceContextImage Capability
LLM API Gateway Optimization / China-Based AggregationClaude Sonnet 4.6 (LLM API Gateway Optimized)claude-sonnet-4-60.5x multiplier¥0.2 / million Tokens1MSupported
OpenAIGPT-5.4gpt-5.42x multiplier¥0.8 / million Tokens1MSupported
OpenAIGPT-5.5gpt-5.54x multiplier¥1.6 / million Tokens258KSupported
OpenAI / CodexGPT-5.3 Codex Sparkgpt-5.3-codex-spark1x multiplier¥0.4 / million Tokens128KNot supported
OpenAIGPT Image 2gpt-image-2Per image¥0.05–0.10 / image1–2K outputGeneration model
OpenAIGPT Image 2 4Kgpt-image-2-4kPer image¥0.5–1 / image4K outputGeneration model
OpenAIGPT-5.6 Solgpt-5.6-sol6x multiplier¥2.4 / million Tokens258KSupported
OpenAIGPT-5.6 Terragpt-5.6-terra1x multiplier¥0.4 / million Tokens258KSupported
xAI / GrokGrok 4.6grok-4.610x multiplier¥4 / million Tokens500KPending confirmation
xAI / GrokGrok 4.5grok-4.55x multiplier¥2 / million Tokens500KSupported
AnthropicClaude Haiku 4.5claude-haiku-4-5-202510011x multiplier¥0.4 / million Tokens256KSupported
AnthropicClaude Sonnet 5claude-sonnet-510x multiplier¥4 / million Tokens1MSupported
AnthropicClaude Fable 5claude-fable-540x multiplier¥16 / million Tokens1MSupported
AnthropicClaude Opus 4.6claude-opus-4-615x multiplier¥6 / million Tokens1MSupported
AnthropicClaude Opus 4.7claude-opus-4-715x multiplier¥6 / million Tokens1MSupported
AnthropicClaude Opus 4.8claude-opus-4-815x multiplier¥6 / million Tokens1MSupported
AnthropicClaude Opus 5claude-opus-515x multiplier¥6 / million Tokens1MSupported
Alibaba Cloud / QwenQwen 3.6 Plusqwen3.6-plus3x multiplier¥1.2 / million Tokens1MSupported
Alibaba Cloud / QwenQwen 3.7 Plusqwen3.7-plus4x multiplier¥1.6 / million Tokens1MSupported
Alibaba Cloud / QwenQwen 3.7 Maxqwen3.7-max10x multiplier¥4 / million Tokens1MNot supported
Alibaba Cloud / QwenQwen 3.8 Maxqwen3.8-max20x multiplier¥8 / million Tokens1MSupported
Meituan / LongCatLongCat 2.0LongCat-2.01x multiplier¥0.4 / million Tokens1MNot supported
Tencent HunyuanHunyuan 3hy31x multiplier¥0.4 / million Tokens256KNot supported
MiniMaxMiniMax M3MiniMax-M31x multiplier¥0.4 / million Tokens1MSupported
MiniMaxImage 01image-01Per image¥0.2 / imageGeneration model
MiniMaxImage 01 Liveimage-01-livePer second¥2 / secondGeneration model
StepFunStep 3.7 Flashstep-3.7-flash1x multiplier¥0.4 / million Tokens256KSupported
ByteDance / DoubaoDoubao Seed 2.1 Turbodoubao-seed-2.1-turbo3x multiplier¥1.2 / million Tokens128KSupported
Xiaomi / MiMoMiMo V2.5 Promimo-v2.5-pro4x multiplier¥1.6 / million Tokens1MNot supported
Xiaomi / MiMoMiMo V2.5mimo-v2.52x multiplier¥0.8 / million Tokens1MSupported
DeepSeekDeepSeek V4 Prodeepseek-v4-pro7.5x multiplier¥3 / million Tokens1MNot supported
DeepSeekDeepSeek V4 Flashdeepseek-v4-flash2.5x multiplier¥1 / million Tokens1MNot supported
Moonshot AI / KimiKimi K3kimi-k325x multiplier¥10 / million Tokens1MSupported
Zhipu / Z.aiGLM 5.1glm-5.15x multiplier¥2 / million Tokens256KSupported
Zhipu / Z.aiGLM 5.2glm-5.28x multiplier¥3.2 / million Tokens1MSupported

API endpoint: Use https://api.llm-token.cn/v1 whenever possible. If a client is incompatible with an address that includes /v1, try https://api.llm-token.cn instead. Different API gateway platforms, clients, and plugins may have different Base URL requirements. After switching models, we recommend testing with a small request first.

Price Table Change Monitoring Skill Installation Guide

The price table change monitoring Skill has been updated to 1.0.4. The new version fixes issues reading large tables in public Feishu documents and prioritizes the actual model price table, preventing explanatory tables from being misidentified as price tables.

What It DoesDescription
Automatically detects changesMonitors model, multiplier, and price tables in public Feishu documents to identify added or removed models, multiplier changes, and price changes per 1 million Tokens.
Automatically formats notificationsOutputs a Markdown notification when changes occur, ready to send to WeChat groups, Telegram, internal company groups, or bot messages.
Designed for customer monitoringResellers, team administrators, and customer-community managers can use it to track price changes without manually opening the document and comparing tables every day.
Stays quiet when nothing changesOutputs NO_REPLY when no changes are detected, making it suitable for OpenClaw, cron, or other automation tasks.

One-command installation

clawhub install feishu-public-table-monitor

Update an existing installation to the latest version

clawhub update feishu-public-table-monitor --force

Recommended update command for an OpenClaw / Lobster workspace

clawhub --workdir ~/.openclaw/workspace update feishu-public-table-monitor --force

Example command for monitoring this price table

Before running the command, enable public internet sharing for the target document in Feishu. Then replace PASTE_YOUR_PUBLIC_FEISHU_DOC_URL_HERE below with its public Feishu URL. Links that require sign-in cannot be monitored.

FEISHU_PUBLIC_DOC_URL='PASTE_YOUR_PUBLIC_FEISHU_DOC_URL_HERE'
python3 ~/.openclaw/workspace/skills/feishu-public-table-monitor/scripts/monitor_feishu_price_table.py \
  "$FEISHU_PUBLIC_DOC_URL" \
  --section-title "三、模型列表与倍率价格表(所有模型可用)"

How to use it: The first run creates a baseline. Run it on a schedule after that. An output of NO_REPLY means the price table has not changed. When changes are detected, it automatically generates a notification covering added models, removed models, multiplier changes, and price changes.

Scope: This Skill is designed for publicly accessible price tables in Feishu documents. For private documents or pages that require authentication, verify access permissions and data security requirements before connecting them.